Artificial neural networks for resources optimization in energetic environment
Artificial neural networks for resources optimization in energetic environment
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Resource Planning Optimization (RPO) is a common task that many companies need to face to get several benefits, like budget improvements and run-time analyses. However, even if it is often solved by using several software products and tools, the great success and validity of the Artificial Intelligence-based approaches, in many research fields, rep...
Alternative Titles
Full title
Artificial neural networks for resources optimization in energetic environment
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_crossref_primary_10_1007_s00500_022_06757_x
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00500_022_06757_x
Other Identifiers
ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-022-06757-x
